Record Details

Country-Level Bio-Economic Modeling of Agricultural Technologies to Enhance Wheat-Based Systems Productivity in the Dry Areas

MELSpace

View Archive Info
 
 
Field Value
 
Title Country-Level Bio-Economic Modeling of Agricultural Technologies to Enhance Wheat-Based Systems Productivity in the Dry Areas
 
Creator Frija, Aymen
 
Contributor Telleria, Roberto
 
Subject foresight modeling
wheat supply
Wheat
 
Description Conservation Agriculture (CA) have a large potential for enhancing cereal yields in the semi-arid areas through
better management of soil moisture. The objective of the current paper is to quantify, at national level, the impact
of CA adoption in wheat-based agricultural systems in Syria. A country-level bio-economic approach was used
for this purpose. Different CA technical packages (TPs) were first developed and simulated through APSIM crop
modeling software, in order to estimate the long-term yields of wheat under different CA TPs for the period
2015-2039. The considered CA packages are a combination of zero-tillage, mulching, raised bed, fertilizer doses,
and planting dates. The simulated yields are then introduced into IMPACT model while assuming that TPs will
be adopted on 35% of the wheat areas in the countries. Results show that the comparative advantages of CA TPs
on overcoming the effect of climate change will only be significant after 2030. In 2039, the effect of different
TPs on average wheat yields in Syria will be 4% to 12% (depending on the TP) higher than the average yields
under climate change and no CA technology adoption. These yield enhancements may reduce the wheat trade
deficit with 30 up to 140%, also depending on the technical package. The combination of mulching techniques,
together with average nitrogen dose of 30kg/ha, and late planting date of wheat provides the best prospective for
the wheat sector in Syria
 
Date 2016-06-29
2017-03-04T21:47:39Z
2017-03-04T21:47:39Z
 
Type Journal Article
 
Identifier http://www.ccsenet.org/journal/index.php/sar/article/view/56371
https://mel.cgiar.org/reporting/download/hash/7P9WQsI7
Aymen Frija, Roberto Telleria. (29/6/2016). Country-Level Bio-Economic Modeling of Agricultural Technologies to Enhance Wheat-Based Systems Productivity in the Dry Areas. Sustainable Agriculture Research, 5 (3), pp. 113-123.
https://hdl.handle.net/20.500.11766/6118
Open access
 
Language en
 
Rights CC-BY-4.0
 
Format PDF
 
Publisher Canadian Center of Science and Education (CCSE)
 
Source Sustainable Agriculture Research;5,(2016) Pagination 113,123